Speed up of Fresnel transforms for digital holography using pre-computed chirp and GPU processing

Pandey, Nitesh; Kelly, Damien P.; Naughton, Thomas J.; Hennelly, Bryan M.

doi:10.1117/12.830587

Cited by 10 publications

(3 citation statements)

References 27 publications

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“…We will not treat computer generated holography, which allows to produce artificial holograms by numerical methods; the interested reader is referred to the literature, e.g. [12][13][14][15][16][17].…”

Section: Fundamentals Of Digital Holographymentioning

confidence: 99%

Holographic Interferometry

Donges¹,

Noll²

2014

Springer Series in Optical Sciences

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The principle of holography is introduced comprising the formation of virtual and real images of the reconstructed object. Holographic interferometry allows to make visible slight changes of the object shape as those induced by deformations or vibrations. The quantitative determination of the displacement vector with the help of the phase-shifting method is explained. We present the fundamentals of digital holography and digital holographic interferometry. Measurement set-ups of holographic interferometry are shown and various examples of applications are given as e.g. the visualization of vibrational modes of mechanical components.

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Section: Fundamentals Of Digital Holographymentioning

confidence: 99%

Holographic Interferometry

Donges¹,

Noll²

2014

Springer Series in Optical Sciences

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“…Since its release, many papers using NVIDIA GPU and CUDA have been published in optics. In particular, calculations of CGH [62,63,64,65,66] and reconstruction in digital holography [44,45,49,67,68,69,70] have successfully accelerated these calculations. Figure 7 shows the structure of an NVIDIA GPU, featuring GPU chips with some Multi-Processors (MP).…”

Section: Gwo and Gwopls Classes: Diffraction And Cgh Calculations On Gpumentioning

confidence: 99%

Computational wave optics library for C++: CWO++ library

Shimobaba¹,

Weng²,

Sakurai³

et al. 2012

Computer Physics Communications

108

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Diffraction calculations, such as the angular spectrum method, and Fresnel diffractions, are used for calculating scalar light propagation. The calculations are used in wide-ranging optics fields: for example, computer generated holograms (CGHs), digital holography, diffractive optical elements, microscopy, image encryption and decryption, three-dimensional analysis for optical devices and so on. However, increasing demands made by large-scale diffraction calculations have rendered the computational power of recent computers insufficient. We have already developed a numerical library for diffraction calculations using a graphic processing unit (GPU), which was named the GWO library. However, this GWO library is not user-friendly, since it is based on C language and was also run only on a GPU. In this paper, we develop a new C++ class library for diffraction and CGH calculations, which is referred as to a CWO++ library, running on a CPU and GPU. We also describe the structure, performance, and usage examples of the CWO++ library.Comment: 18 page

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“…As the core of the numerical reconstruction of electronically recorded holograms is the FFT, some applications that use GPUs to reduce the computation time of the reconstruction process on DH, have been already proposed [35]- [38]. Shimobaba et al [35] have presented the most remarkable of these applications.…”

Section: Introductionmentioning

confidence: 99%

Accelerated Numerical Processing of Electronically Recorded Holograms With Reduced Speckle Noise

Trujillo

Garcı́a-Sucerquia²

2013

IEEE Trans. on Image Process.

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The numerical reconstruction of digitally recorded holograms suffers from speckle noise. An accelerated method that uses general-purpose computing in graphics processing units to reduce that noise is shown. The proposed methodology utilizes parallelized algorithms to record, reconstruct, and superimpose multiple uncorrelated holograms of a static scene. For the best tradeoff between reduction of the speckle noise and processing time, the method records, reconstructs, and superimposes six holograms of 1024 × 1024 pixels in 68 ms; for this case, the methodology reduces the speckle noise by 58% compared with that exhibited by a single hologram. The fully parallelized method running on a commodity graphics processing unit is one order of magnitude faster than the same technique implemented on a regular CPU using its multithreading capabilities. Experimental results are shown to validate the proposal.

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Speed up of Fresnel transforms for digital holography using pre-computed chirp and GPU processing

Cited by 10 publications

References 27 publications

Holographic Interferometry

Holographic Interferometry

Computational wave optics library for C++: CWO++ library

Accelerated Numerical Processing of Electronically Recorded Holograms With Reduced Speckle Noise

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